The rapid advancement of large language models (LLMs) has revolutionized artificial
intelligence, introducing unprecedented capabilities in natural language processing and …

As the reliance on open-source software dependencies increases, managing the security
vulnerabilities in these dependencies becomes complex. State-of-the-art industry tools use …

Software vulnerabilities pose significant risks to the security and integrity of software
systems. Prior studies have proposed a series of approaches to vulnerability detection using …

Repository-level code completion is challenging as it involves complicated contexts from
multiple files in the repository. To date, researchers have proposed two technical categories …

Enhancing the modular structure of existing systems has attracted substantial research
interest, focusing on two main methods:(1) software modularization and (2) identifying …

Automatic Program Repair (APR) aims to automatically fix software bugs, playing an
essential role in software development. While current research demonstrates that Large …

Source code vulnerability detection is a critical issue in software security. Existing detection
methods primarily focus on the function-granularity, neglecting inter-function call information …